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rapidly converge and be more robust when number of parameters is small

When is not close to the minimum, is not necessarily positive definite

Given initial guess of parameters, has become the problem of parameter estimation by applying different fitting functions, suppose that the first derivative of E() with respect to parameters is denoted by E() and the second derivative of E() with respect to parameters is called Hessian matrix, denoted by